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一个新的眼内透镜功率公式,整合了基于中国眼睛的有效透镜位置的人工智能估计

Wei Lou¹, Wanru Zhou¹, Mingxing Wu²

¹Department of Ophthalmology, Shanghai East Hospital, Tongji University School of Medicine, Tongji University, Shanghai, China.

Translational vision science & technology

|October 30, 2024

概括

一种新的眼内透镜 (IOL) 配方,Jin-AI,是为中国眼睛开发的. 与传统公式相比,它显示出更高的预测准确性,并且与较新的白内障手术相比,结果相似.

科学领域:

眼科医生眼科眼科
生物医学工程生物医学工程
光学是什么?光学是什么?光学是什么?

背景情况:

白内障手术需要精确的眼内透镜 (IOL) 功率计算.
现有的IOL公式在不同的种族群体中可能具有可变的准确性.
开发特定于人群的配方可以改善外科手术的结果.

研究的目的:

为中国人群量身定制的新型眼内透镜 (IOL) 配方开发和验证.
为了评估新的Jin-AI公式的预测准确性,与已建立的IOL计算方法相比.

主要方法:

在709只眼睛上训练了一种有效估计镜头位置的算法.
该算法与高斯光学集成,创建了Jin-AI公式.
使用内部 (177眼) 和外部 (557眼) 数据集来评估性能,将预测误差标准偏差 (SD) 与传统和较新的公式进行比较.

主要成果:

在内部测试数据集中,Jin-AI公式获得了最低的SD (0.25 D).
在外部测试数据集中,Jin-AI显示了最低的SD (0.38 D),相当于领先的新配方.
预测准确度在各种眼睛参数中是一致的,类似于先进的IOL公式.

结论:

金-AI公式在预测术后折射误差方面表现强.
它提供了比第三代公式更好的准确性,并且与新一代公式相比较.
金-AI公式是中国患者内腔镜功率计算的潜在可靠工具.

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